A workflow for human-centered machine-assisted hypothesis generation: Commentary on Banker et al. (2024).

Large language models (LLMs) have the potential to revolutionize a key aspect of the scientific process-hypothesis generation. Banker et al. (2024) investigate how GPT-3 and GPT-4 can be used to generate novel hypotheses useful for social psychologists.

Variation in social media sensitivity across people and contexts.

Social media impacts people's wellbeing in different ways, but relatively little is known about why this is the case. Here we introduce the construct of "social media sensitivity" to understand how social media and wellbeing associations differ across people and the contexts in which these platforms are used. In a month-long large-scale intensive longitudinal study (total n = 1632; total number of observations = 120,599), we examined for whom and under which circumstances social media was associated with positive and negative changes in social and affective wellbeing.

Psychological well-being in Europe after the outbreak of war in Ukraine.

The Russian invasion of Ukraine on February 24, 2022, has had devastating effects on the Ukrainian population and the global economy, environment, and political order. However, little is known about the psychological states surrounding the outbreak of war, particularly the mental well-being of individuals outside Ukraine. Here, we present a longitudinal experience-sampling study of a convenience sample from 17 European countries (total participants = 1,341, total assessments = 44,894, countries with >100 participants = 5) that allows us to track well-being levels across countries during the weeks surrounding the outbreak of war.

Freedom and Constraint in Digital Environments: Implications for the Self.

We evaluate how features of the digital environment free or constrain the self. Based on the current empirical literature, we argue that modern technological features, such as predictive algorithms and tracking tools, pose four potential obstacles to the freedom of the self: lack of privacy and anonymity, (dis)embodiment and entrenchment of social hierarchy, changes to memory and cognition, and behavioral reinforcement coupled with reduced randomness. Comparing these constraints on the self to the freedom promised by earlier digital environments suggests that digital reality can be designed in more freeing ways.

A New Pathway to University Retention? Identity Fusion With University Predicts Retention Independently of Grades.

Individuals who are "strongly fused" with a group view the group as self-defining. As such, they should be particularly reluctant to leave it. For the first time, we investigate the implications of identity fusion for university retention.

Asymmetries in Mutual Understanding: People With Low Status, Power, and Self-Esteem Understand Better Than They Are Understood.

All too often, people who develop exceptionally astute insights into others remain mysterious to these others. Evidence for such asymmetric understanding comes from several independent domains. Striking asymmetries occur among those who differ in status and power, such that individuals with low status and power understand more than they are understood.

Censoring political opposition online: Who does it and why.

As ordinary citizens increasingly moderate online forums, blogs, and their own social media feeds, a new type of censoring has emerged wherein people selectively remove opposing political viewpoints from online contexts. In three studies of behavior on putative online forums, supporters of a political cause (e.g.

An Evaluation of Amazon's Mechanical Turk, Its Rapid Rise, and Its Effective Use.

Over the past 2 decades, many social scientists have expanded their data-collection capabilities by using various online research tools. In the 2011 article "Amazon's Mechanical Turk: A new source of inexpensive, yet high-quality, data?" in Perspectives on Psychological Science, Buhrmester, Kwang, and Gosling introduced researchers to what was then considered to be a promising but nascent research platform. Since then, thousands of social scientists from seemingly every field have conducted research using the platform.

Differentiated selves can surely be good for the group, but let's get clear about why.

We applaud the goal of reconciling the self and group literatures and agree that a differentiated self may sometimes improve group outcomes. Nevertheless, greater precision regarding the underlying mechanisms is needed. Specifically, differentiated selves improve outcomes by overriding selfishness when they allow for personal regulation (being personally recognized and valued) rather than social regulation (specialization of labor).